Intelligent Reflecting Surface for B5g/6g Wireless Networks: Information and Power Transmission (智慧反射表面於B5g/6g無線網路：資訊與電力傳輸)

Wu, Qingqing, Guan, Xinrong, Hua, Meng

Intelligent Reflecting Surface for B5g/6g Wireless Networks: Information and Power Transmission
  • 出版商: Springer
  • 出版日期: 2024-11-22
  • 售價: $4,400
  • 貴賓價: 9.5 折 $4,180
  • 語言: 英文
  • 頁數: 177
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031441745
  • ISBN-13: 9783031441745
  • 相關分類: 5G、Wireless-networks

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book provides comprehensive insights into the theory, models, and unique characteristics of intelligent reflecting surface (IRS) and its appealing applications in wireless information and power transmission for B5G/6G. It is organized as follows:

Chapter 1 gives an overview of the fundamentals of IRS, including the signal and channel models of IRS, its hardware architecture, advantages and practical constraints. Chapter 2, 3 and 4 focus on how to optimize the joint design of active and passive beamforming for three types of IRS-aided wireless information/energy transmission systems, namely IRS-aided power transfer (WPT), IRS-aided simultaneous wireless information and power transfer (SWIPT) and IRS-aided wireless powered communication networks (WPCN).

Chapter 2 specifically presents a general framework design for IRS-aided WPT systems from the perspectives of energy beamforming design and channel estimation, while the dynamic IRS beamforming design is also discussed.

Chapter 3 thoroughly studies the IRS-aided SWIPT for achieving better R-E trade-off, wherein two different designs based on weighted sum-power maximization at energy users (EUs) and under individual quality-of-service (QoS), requirements at both information users (IUs) and EUs are investigated.

Chapter 4 presents three paradigms of IRS-aided WPCN, i.e., IRS-aided half-duplex (HD) WPCN, IRS-aided full-duplex (FD) WCPN and IRS-aided multiple-input-multiple-output (MIMO) FD WPCN. The authors present some related emerging topics, e.g., active IRS aided wireless communications and IRS-aided unmanned aerial vehicle (UAV) communications in chapter 5.

This book targets postgraduate students studying electrical engineering and computer science, and can be used as a secondary textbook. Professionals, researchers and engineers working in wireless networks will also find this book useful as a reference.

商品描述(中文翻譯)

本書提供了關於智能反射面（IRS）理論、模型及其獨特特性的全面見解，以及在B5G/6G無線信息和電力傳輸中的吸引人應用。內容組織如下：

第一章概述了IRS的基本原理，包括IRS的信號和通道模型、硬體架構、優勢及實際限制。第二、第三和第四章專注於如何優化三種類型的IRS輔助無線信息/能源傳輸系統的主動和被動波束成形的聯合設計，這三種類型分別為IRS輔助的電力傳輸（WPT）、IRS輔助的同時無線信息和電力傳輸（SWIPT）以及IRS輔助的無線供電通信網絡（WPCN）。

第二章特別從能量波束成形設計和通道估計的角度提出了一個IRS輔助WPT系統的通用框架設計，同時也討論了動態IRS波束成形設計。

第三章深入研究了IRS輔助的SWIPT，以實現更好的能量-效率（R-E）權衡，其中探討了基於能量用戶（EUs）加權總功率最大化的兩種不同設計，並考慮了信息用戶（IUs）和EUs的個別服務質量（QoS）要求。

第四章介紹了三種IRS輔助的WPCN範式，即IRS輔助的半雙工（HD）WPCN、IRS輔助的全雙工（FD）WPCN和IRS輔助的多輸入多輸出（MIMO）FD WPCN。作者在第五章中提出了一些相關的新興主題，例如主動IRS輔助的無線通信和IRS輔助的無人機（UAV）通信。

本書的目標讀者為學習電機工程和計算機科學的研究生，並可作為輔助教材。從事無線網絡工作的專業人士、研究人員和工程師也會發現本書作為參考資料非常有用。

作者簡介

Qingqing Wu is an Associate Professor with Shanghai Jiao Tong University. His current research interest includes intelligent reflecting surface (IRS), unmanned aerial vehicle (UAV) communications, and MIMO transceiver design. He has coauthored more than 100 IEEE journal papers with 29 ESI highly cited papers and 9 ESI hot papers, which have received more than 20,000 Google citations. He was listed as the Clarivate ESI Highly Cited Researcher in 2022 and 2021, the Most Influential Scholar Award in AI-2000 by Aminer in 2021 and World's Top 2% Scientist by Stanford University in 2020 and 2021. He was the recipient of the IEEE Communications Society Fred Ellersick Prize, IEEE Best Tutorial Paper Award in 2023, Asia-Pacific Best Young Researcher Award and Outstanding Paper Award in 2022, Young Author Best Paper Award in 2021, the Outstanding Ph.D. Thesis Award of China Institute of Communications in 2017, the IEEE ICCC Best Paper Award in 2021, and IEEE WCSP Best Paper Award in 2015. He serves as an Associate Editor for IEEE Transactions on Communications, IEEE Communications Letters, IEEE Wireless Communications Letters. He was the Lead Guest Editor for IEEE Journal on Selected Areas in Communications.
Xinrong Guan received both the B.Eng. degree in Communications Engineering and the Ph.D. degree in Communications and Information Systems from the College of Communications Engineering, PLA University of Science and Technology, Nanjing, China in 2009 and 2014, respectively. From 2014, he worked as a lecturer at the College of Communications Engineering, Army Engineering University of PLA. His current research interests include physical layer security, wireless key generation, and intelligent reflecting surface (IRS).
Meng Hua received Ph.D. degree in School of Information Science and Engineering, Southeast University, Nanjing, China, in 2021. From 2021-2023, he was working at the State Key Laboratory of Internet of Things for Smart City, University of Macau as a Postdoc. He was the recipient of the Outstanding Ph.D. Thesis Award of Chinese Institute of Electronics in 2021. His current research interests include localization, integrated sensing and communication, and intelligent reflecting surface.

作者簡介(中文翻譯)

吳青青是上海交通大學的副教授。他目前的研究興趣包括智能反射面（IRS）、無人機（UAV）通信以及MIMO收發器設計。他已共同撰寫超過100篇IEEE期刊論文，其中有29篇ESI高被引論文和9篇ESI熱門論文，這些論文的Google引用次數超過20,000次。他在2022年和2021年被列為Clarivate ESI高被引研究者，並於2021年獲得Aminer頒發的AI-2000最具影響力學者獎，以及在2020年和2021年被史丹佛大學評選為全球前2%科學家。他曾獲得IEEE通信學會Fred Ellersick獎、2023年IEEE最佳教程論文獎、2022年亞太最佳青年研究者獎和優秀論文獎、2021年青年作者最佳論文獎、2017年中國通信學會優秀博士論文獎、2021年IEEE ICCC最佳論文獎，以及2015年IEEE WCSP最佳論文獎。他擔任IEEE Transactions on Communications、IEEE Communications Letters和IEEE Wireless Communications Letters的副編輯，並曾擔任IEEE Journal on Selected Areas in Communications的主編。

關新榮於2009年和2014年分別獲得中國南京解放軍科學技術大學通信工程學院的工程學士學位和通信與信息系統的博士學位。自2014年起，他在解放軍工程大學通信工程學院擔任講師。他目前的研究興趣包括物理層安全、無線密鑰生成和智能反射面（IRS）。

華萌於2021年在中國南京東南大學信息科學與工程學院獲得博士學位。從2021年至2023年，他在澳門大學智慧城市物聯網國家重點實驗室擔任博士後。他於2021年獲得中國電子學會優秀博士論文獎。他目前的研究興趣包括定位、集成感知與通信以及智能反射面。

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